{"id":"W4388278635","doi":"10.1002/adhm.202301894","title":"Electroconductive Collagen‐Carbon Nanodots Nanocomposite Elicits Neurite Outgrowth, Supports Neurogenic Differentiation and Accelerates Electrophysiological Maturation of Neural Progenitor Spheroids","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Concordia University; Carleton University; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Neurite; Neural stem cell; Neuroscience; Progenitor cell; NMDA receptor; Cell biology; Chemistry; Stem cell; Biophysics; Biology; Receptor; In vitro; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001017104,0.0003013825,0.0004788541,0.0001514455,0.0001322473,0.00006157854,0.0001280617,0.000153074,0.00001604389],"category_scores_gemma":[0.00001590945,0.0002879664,0.00005290614,0.0005099454,0.00004275297,0.0002119334,0.00005144357,0.00007213802,0.000007364296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004174421,"about_ca_system_score_gemma":0.00002590105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003108909,"about_ca_topic_score_gemma":0.00001461849,"domain_scores_codex":[0.998167,0.0001478394,0.0006258921,0.0003965211,0.0001659525,0.0004967715],"domain_scores_gemma":[0.9992747,0.00005243568,0.0001851517,0.0002433215,0.0001367247,0.0001076061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001581078,0.0000180754,0.0002754209,0.0002392709,0.00003088142,0.000003476728,0.0000841521,0.00009856222,0.9981583,0.0002217551,0.00001967104,0.0006923142],"study_design_scores_gemma":[0.0003202209,0.0003060024,0.04676491,0.00002154614,0.00002559983,0.0000138759,0.00002556266,0.000326654,0.9509934,0.0009477325,0.0000280951,0.0002264458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971064,0.0003941367,0.00001134683,0.0001644837,0.0005127646,0.001169568,0.0001061891,0.0005273879,0.000007713209],"genre_scores_gemma":[0.9978664,0.0008758117,0.0001797466,0.00004839277,0.0001436152,0.0004256064,0.0003838696,0.00006565086,0.00001090357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04716496,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105323607831196,"score_gpt":0.2418318509508688,"score_spread":0.2312994901677492,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}